How to Use the QuestionPro MCP in OpenAI Agents SDK

Q: Can an OpenAI Agents SDK agent create new surveys in QuestionPro?

Yes, the agent can use the createsurvey tool to generate new surveys dynamically. You can set up guardrails in the SDK to validate the survey configuration before the agent executes the call.

Q: How does the QuestionPro MCP Server protect sensitive survey responses?

All survey responses and email lists fetched via listresponses and listemaillists are transmitted over TLS directly to your execution environment. Vinkius runs the server in an isolated sandbox, meaning your API credentials never touch the LLM provider directly.

Build production-grade OpenAI Agents SDK workflows that pull raw survey responses and run guardrailed feedback analysis.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect QuestionPro MCP to OpenAI Agents SDK

Create your Vinkius account to connect QuestionPro to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup QuestionPro with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Extract QuestionPro responses with OpenAI Agents SDK

Stop wasting time copying CSV exports. Your agent uses `list_surveys` to find active questionnaires and `list_responses` to pull raw customer feedback straight into your run loop. The SDK auto-discovers these tools using `MCPServerStreamableHttp`. From there, the agent maps the response data to your processing pipeline while OpenAI's tracing dashboard tracks every single tool call.

Analyze survey statistics using the MCP Server

Let your agent monitor campaign performance without manual dashboards. By calling `get_survey_stats`, the agent checks completion rates and response volumes to decide if a campaign needs optimization. This MCP Server integration runs inside OpenAI's secure sandboxed environment. Your agent can coordinate complex handoffs, passing raw statistics to specialized analysis agents without leaking credentials.

Inspect survey schemas automatically

Agents need to understand what they are reading before they analyze it. The agent calls `list_questions` and `get_question` to map specific question IDs to their actual text before processing responses. This prevents the agent from guessing what Q1 means. It gets the exact structure, ensuring that your downstream analysis matches the actual intent of the questionnaire.

Setup guide

Set up QuestionPro MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all QuestionPro tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives QuestionPro tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate QuestionPro tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="QuestionPro Agent",
            instructions="You have access to QuestionPro tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by QuestionPro. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect QuestionPro now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about QuestionPro MCP in OpenAI Agents SDK

Install the package with pip install openai-agents and initialize MCPServerStreamableHttp pointing to your Vinkius endpoint. Pass this server instance in the mcp_servers list when creating your Agent. The agent automatically discovers tools like list_surveys and list_responses.

Yes, the agent can use the create_survey tool to generate new surveys dynamically. You can set up guardrails in the SDK to validate the survey configuration before the agent executes the call.

The SDK relies on standard Python async patterns to manage execution. You should configure your agent's loop to handle pagination when calling list_responses to avoid hitting API rate limits during bulk exports.

You can instruct your agent to only query specific folders by chaining list_folders and list_surveys_by_folder. This limits the scope of the agent's work to relevant projects.

All survey responses and email lists fetched via list_responses and list_email_lists are transmitted over TLS directly to your execution environment. Vinkius runs the server in an isolated sandbox, meaning your API credentials never touch the LLM provider directly.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript